Data Conference Databasea Query.Farm index
Conference
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Data science & ML
Dates
Aug 14, 2021 – Aug 18, 2021
Venue
—
Place
Singapore, Singapore
Format
Online
Status
Past
Attendance
—
Website
kdd.org
Recorded
27 sponsors · 25 speaker appearances
Notes
speakers: keynotes + ADS invited talks only. Virtual event hosted from Singapore (site: 'SIGKDD 2021 is officially going virtual', Jan 10, 2021). Recorded talks were published in a KDD 2021 playlist on the ACM YouTube channel: https://www.youtube.com/playlist?list=PLn0nrSd4xjjaiPNQnxhw5SmyZ5p0EjUms (per-talk links not recorded). Sponsors: one entry per company at its highest listed role.

Ticket prices

TicketPriceValid untilNotesSource
Full conference (virtual), student$50—kdd.org
Full conference (virtual), SIGMOD/AAAI/ACM member$200—kdd.org
Full conference (virtual), SIGKDD member$200—kdd.org
Full conference (virtual), non-ACM/SIG member$250—kdd.org

Sponsors 27

Speakers and talks 25

SpeakerCompanyRoleTalkLinks
Claire TomlinUniversity of California, BerkeleyKeynoteSafe Learning in Robotics—
Jeffrey UllmanStanford UniversityKeynoteOn the Nature of Data Science—
Sharon GlotzerUniversity of MichiganKeynoteData Science for Assembly Engineering—
Vincent ConitzerDuke UniversityKeynoteAutomated Mechanism Design for Strategic Classification—
Arun KumarUniversity of California, San DiegoADS invited talkThe New DBfication of ML/AI and Reigniting the Database - Data Mining Nexus—
Danai KoutraUniversity of MichiganADS invited talkRevisiting Knowledge Graph Completion From a Practical Perspective—
Daniel S. WeldUniversity of Washington & Allen Institute for AIADS invited talkSemantic Scholar - Tera-scale NLP to Accelerate Scientific Research—
Flora SalimRMIT UniversityADS invited talkLearning transferable human behaviour representations from sensor data—
Haixun WangInstacartADS invited talkRethink e-Commerce Search—
Hao MaMetaADS invited talkRecent Advances in AI to Detect Online Harmful Content—
Janil PuthuchearySingapore Ministry of Communications & Information and Ministry of HealthOpening addressOpening Address: Singapore National AI Strategy—
Julia StoyanovichNew York UniversityADS invited talkTransFAT: Translating Fairness, Accountability, and Transparency into Data Science Practice—
Matei ZahariaDatabricks & StanfordADS invited talkWhat’s Next in Infrastructure for Machine Learning?—
Meihui ZhangMZH Technologies Pte Ltd and Beijing Institute of TechnologyADS invited talkBig Data Analytics in Healthcare—
Natasha NoyGoogleADS invited talkGoogle Dataset Search: Building an open ecosystem for dataset discovery—
Nesime TatbulIntelADS invited talkApplied Data Science for Predictive Time Series Analytics—
Ron KaridiSparkBeyondADS invited talkCan machines help humans generate new ideas and create more Eureka moments?—
Sam McKennochVulcan IncADS invited talkUsing Machine Learning to Amplify Scientific Work in Conservation and Ocean Health—
Sunita SarawagiIIT BombayADS invited talkIs Your Model Prepared for Changes?—
Tammy WangKorn FerryADS invited talkData and AI driven approach to Career Mobility and Talent Management—
Wei WangNUS and ByteDanceADS invited talkTowards An-easy-to Use AI Platform: Data, Algorithms and Systems—
Xavier BressonNational University of SingaporeADS invited talkLearning to Solve the Traveling Salesman Problem—
Xiaojuan MaHong Kong University of Science and TechnologyADS invited talkData-Driven Approach to Creativity in Design with Human-Engaged AI—
Xiaokui XiaoNational University of SingaporeADS invited talkPreserving Data Privacy in Federated Learning—
Yangqing JiaAlibaba CloudADS invited talkChallenges and solutions in industry scale data and AI systems—

Sources